Lead Data Scientist

Global leader in CRM and enterprise cloud solutions, providing innovative technology for business transformation.
$150,000 - $250,000
Data
Staff Software Engineer
In-Person
5+ years of experience
AI · Enterprise SaaS

Description For Lead Data Scientist

Join Salesforce as a Lead Data Scientist and drive innovation in AI and machine learning solutions. This role offers an exciting opportunity to develop complex AI solutions and scale critical data science products that directly impact Salesforce's customer success. You'll work with cutting-edge technologies including LLMs and Generative AI frameworks, while leading and mentoring a team of data scientists.

As a technical leader, you'll be responsible for designing and implementing state-of-the-art models, optimizing machine learning pipelines, and establishing best practices for data science workflows. The role combines deep technical expertise with leadership responsibilities, requiring both advanced machine learning knowledge and the ability to translate complex technical concepts into business value.

The position requires 5+ years of experience in data science with a strong foundation in Python, ML frameworks, and cloud platforms. You'll work with modern tools like AWS SageMaker, Docker, and various ML frameworks while collaborating with cross-functional teams to deliver impactful solutions.

Salesforce offers an environment where innovation thrives, providing access to cutting-edge technologies and the opportunity to work on projects with measurable business impact. You'll be part of a culture that values collaboration, continuous learning, and professional growth, working alongside talented professionals who share your passion for data science and AI.

This role is perfect for someone who combines technical excellence with leadership abilities, enjoys mentoring others, and wants to make a significant impact in the enterprise software industry. Join us to shape the future of AI and machine learning while advancing your career in a supportive and dynamic environment.

Last updated 13 days ago

Responsibilities For Lead Data Scientist

  • Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks
  • Perform model optimization for performance, scalability, and accuracy
  • Implement advanced feature engineering techniques
  • Build and optimize machine learning pipelines
  • Mentor and guide junior data scientists
  • Establish and enforce standards and best practices for data science workflows
  • Translate complex technical insights into actionable business strategies
  • Collaborate with stakeholders to define problems, metrics, and data-driven solutions

Requirements For Lead Data Scientist

Python
Kubernetes
  • 5+ years of experience in data science, including deploying AI/ML products at scale
  • Bachelor's or Master's degree in Mathematics, Computer Science, or related field
  • Mastery of Python for data manipulation, machine learning, and software development
  • Proficiency in ML frameworks like TensorFlow, PyTorch, and scikit-learn
  • Experience with Docker, AWS SageMaker, and Airflow for pipeline optimization
  • Proficiency in SQL, Spark, and ETL processes
  • Familiarity with Generative AI, LLMs, NLP frameworks, and vector databases
  • Hands-on experience with cloud platforms like AWS

Benefits For Lead Data Scientist

  • Work on cutting-edge AI and data science projects
  • Collaborate with a talented and passionate team
  • Access to modern tools, technologies, and resources
  • Culture that values innovation, collaboration, and growth

Interested in this job?

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